Security buyers are some of the most sceptical people in B2B. They have heard every claim about stopping breaches, so the vendors that win their attention are the ones that can show evidence. Data gives a security company that evidence, and it tells the marketing team where to spend its time and which messages are working.
This guide covers how to use data to understand your buyers and plan your content. It also looks at how AI assistants now shape what buyers hear about you, and how to measure all of it.
Why is data so important in cybersecurity marketing?
Security is a crowded market with long sales cycles and very technical buyers. A CISO comparing vendors will read analyst research, ask peers and test every claim against what they already know, so vague promises tend to backfire. Marketing built on real data, such as research you have run or evidence from your own customers, gives these buyers something specific to weigh.
Data also keeps a marketing team honest. Once you know which channels bring qualified conversations, you can stop spending on activity that looks busy but doesn't move the pipeline. Original research is often the strongest lever. Our work with CybSafe on its BEHAVE research, for example, earned 156 pieces of coverage and influenced 16 deals.
How do you use data to define your target audience?
Start with an ideal customer profile (ICP), which describes the type of organisation most likely to buy from you and stay. Look at your existing customers for the patterns, such as sector, size and the regulation they work under. Renewal rates and expansion revenue are often a better guide than first deals, because they show where your product keeps delivering value.
Then build buyer personas for the people inside those organisations. A CISO and a procurement manager ask different questions and trust different sources, so each needs a description of their priorities and objections. Interviews with customers and your sales team usually reveal more than survey data on its own.
How does your ICP help you understand AI search prompts?
Buyers now ask ChatGPT, Gemini and Perplexity for advice long before they speak to a vendor, and the questions they type follow directly from who they are. A CISO at a regulated bank might ask which email security tools meet DORA requirements, while a head of IT at a fast-growing SaaS company might ask for the best security awareness platform for a team of 200. Your ICP and personas tell you which of these questions your buyers are likely to ask.
That makes them the starting point for an AI search prompt set. Write the questions each persona would ask at each stage of buying, from understanding the problem to comparing shortlisted vendors, and use their own language when you do. Then ask those questions regularly across the main assistants and record whether you are named, who is named instead and which sources the answers draw on. This is how we built the 86 questions behind our UK B2B tech PR AI visibility index, and the same method works for any security market.
The results tell you what to publish next. If buyers keep asking about compliance frameworks and the answers never mention you, that is a gap your website and PR can close. A prompt set built from a vague audience will measure the wrong things, so the time spent on a precise ICP pays off here as well.
How should data shape your content strategy?
Use your personas to decide which questions your content needs to answer, and then use performance data to decide which formats and channels to keep. Time on page and the content people read before booking a demo both show what is useful to buyers. Pages that attract traffic but never lead to a conversation may need a clearer next step, or they may be answering the wrong question.
Original research is the most valuable content a security company can publish, because it gives journalists a story and gives buyers evidence they can share internally. It also suits data storytelling, where a few clear findings carry the argument. Our early-stage cybersecurity PR playbook covers how to plan a research launch.
How do AI assistants change cybersecurity marketing?
The answers buyers get from AI assistants are built from the pages those assistants read. In our analysis of over 1.3 million AI citations about B2B technology brands, a company's own website made up only about 6% of citations when the question didn't name the company. Most of the answer came from other sources, including competitors, review sites and the trade press, which is why independent coverage carries so much weight.
Accuracy is a particular risk for security companies. When we checked almost 50,000 AI answers against verified facts, errors about compliance and certification were among the most common. Security, data residency and certifications also made up about a fifth of the facts the assistants left out. If your SOC 2 report, ISO certification or data residency options aren't stated clearly on your site, an assistant may guess or skip them. Our reports on what AI reads before it recommends and what AI gets wrong about B2B tech brands explain the patterns in more detail.
How do you measure whether your marketing is working?
Choose a small set of key performance indicators that connect to revenue, such as qualified leads, pipeline influenced and cost per opportunity. Add measures that show whether your reputation is growing, including share of voice against named competitors and coverage in the trade titles your buyers read.
AI visibility now belongs on that list as well. Track how often the main assistants name you for the prompts in your set and whether what they say about you is accurate. Reviewing these numbers each quarter alongside your CRM data shows you which campaigns to repeat and where your reputation is improving.
What are the key points?
- Build your ideal customer profile and buyer personas from customer data and interviews, and revisit them as your market changes.
- Use your ICP to write the questions your buyers ask AI assistants, and track how the assistants answer them.
- Invest in original research that gives buyers evidence they can share, and let performance data decide which content to keep.
- Publish your certifications, compliance details and data residency options clearly, because AI assistants often get them wrong or leave them out.
If you'd like help building a data-led marketing and PR programme for a security company, get in touch.
